Foundations of Data Science and Machine Learning on Cloud Platform

Modern data science and machine learning increasingly rely on the scale and efficiency of cloud environments. This course provides a structured path to understanding how to process data and train models using professional cloud-based services. You will transition from foundational concepts to implementing practical workflows that leverage cloud infrastructure for data analysis and predictive modeling. What you'll learn: - Understand core data science terminology and the machine learning lifecycle - Configure cloud-based environments for data processing and analysis - Apply exploratory data analysis techniques to large datasets - Train and evaluate machine learning models using cloud-native tools - Implement basic prompt engineering and understand vector storage concepts - Practice cleaning and transforming data for production-ready pipelines The course begins with essential definitions and theoretical foundations before moving into the practical application of data science tasks within a cloud ecosystem. You will read through detailed explanations and apply your knowledge through written exercises designed to simulate real-world data challenges. This course is designed for absolute beginners interested in data science; no prior cloud experience or programming background is required. Start your journey into cloud-driven data science today.